40 results about "Multi user interference" patented technology

The invention discloses an unmanned aerial vehicle relay route planning method based on photoelectric hybrid switching. The method comprises the following steps: establishing a free space optical channel model, and focusing a flicker effect caused by turbulence and attenuation caused by weather; when a radio frequency channel model is constructed, line-of-sight and non-line-of-sight large-scale fading are fused, and downlink multi-user interference is quantized; establishing a hybrid obstacle model based on a Ray-AABB algorithm, fusing ground static and air dynamic obstacles, and determining a sight distance connection feasible position set; a boundary reflection type random walk model is adopted to describe user movement, and a speed and direction two-parameter updating mechanism and a boundary elastic collision rule are defined; the user throughput is dynamically optimized in combination with fractional order power distribution and non-orthogonal multiple access technologies; a deep reinforcement learning framework is provided, and a three-dimensional track, photoelectric switching and resource allocation are jointly optimized by using a dual deep Q network. According to the invention, the challenge of a low-altitude spectrum rejection environment can be effectively handled, and the robustness and adaptive capacity of the system are ensured.

The disclosure relates to a 5G or 6G communication system for supporting a higher data transmission rate. The disclosure provides a method and a device for filtering-based channel estimation. A method comprises configuring a filter design with a stopband region between at least two bandpass regions in a time domain associated with channel behavior, suppressing, via the filter design, multi-user interference (MUI) or orthogonal cover code (OCC) interference in the time domain, and providing frequency domain-based channel estimation (CE) based on the filter design.

A method and device for filtering-based channel estimation. A method comprises configuring a filter design with a stopband region between at least two bandpass regions in a time domain associated with channel behavior, suppressing, via the filter design, multi-user interference (MUI) or orthogonal cover code (OCC) interference in the time domain, and providing frequency domain-based channel estimation (CE) based on the filter design.

The invention relates to a dual dynamic optimization multi-user detection method based on SCMA in an uplink NOMA system, and belongs to the technical field of wireless communication. According to the method, the technical problems of insufficient multi-user interference suppression caused by codebook cross correlation enhancement in a high overload scene, poor convergence stability of a traditional detection algorithm and error code propagation caused by a hard decision mechanism are solved. The scheme of the invention comprises the following steps of: generating a dynamic codebook: constructing a low-mutual-interference codebook through resource load balancing and complex field amplitude phase joint optimization; dual confidence interference elimination: fusing user-level weight and symbol-level weight to dynamically adjust elimination intensity; according to the cross-layer iteration mechanism, soft information closed-loop feedback is achieved in combination with interference suppression merging equalization and hierarchical decoding; and dynamic damping updating: adaptively adjusting the soft information feedback intensity based on the signal-to-noise ratio to suppress oscillation. The method has the beneficial effects that the multi-user interference suppression capability is improved in a breakthrough manner, the interference elimination precision is revolutionarily optimized, and the system keeps ultrahigh reliability in a severe environment with a low signal-to-noise ratio.

The invention discloses an edge task unloading method of a cellular-free uplink communication system based on rate division multiple access assisted by an intelligent reflecting surface, and relates to a wireless communication and mobile edge computing (MEC) technology. The method aims at optimizing calculation and communication resource allocation of the MEC system, reducing task unloading time delay and improving system throughput. By introducing the RIS technology, the wireless channel environment is dynamically adjusted, the signal propagation quality is enhanced, meanwhile, the RSMA technology is combined to optimize data transmission, the spectrum utilization rate is improved, and the multi-user interference is reduced. A block coordinate descent (BCD) optimization framework is adopted, a UE-AP matching algorithm based on channel state information (CSI) and computing resource availability is provided, an efficient user access strategy is achieved, an RIS phase shift matrix, AP beam forming, a task unloading factor and a power distribution strategy are jointly optimized, task processing delay is minimized, and the user access efficiency is improved. And the computing resource utilization rate and communication quality are improved.

The invention relates to an intelligent metasurface-assisted near field communication sensing integrated beam forming method, and belongs to the technical field of communication. The method comprises the following steps: firstly, establishing a communication and perception integrated system framework, then establishing a communication model according to the reachable rate of a system under the factors of multi-user interference and perception signal interference in a near-field communication system, then establishing a near-field perception channel containing distance information and angle information, deriving a Cramer-Rao bound of a perception target, and establishing a perception model; establishing an optimization problem which takes the minimum communication sum rate and the maximum transmitting power as constraints and takes the minimum Cramer-Rao lower bound as a target; the method comprises the steps of converting an objective function into an augmented Lagrange problem through a PDD framework, dividing an optimization variable into two blocks to obtain two sub-problems, calling a BCD algorithm to iteratively update the two sub-problems, and finally solving to obtain a beam forming scheme. According to the method, the sensing performance is remarkably improved, and the stability and high efficiency of the communication performance are ensured.

The invention discloses an OAM vortex communication system device and method of a silicon-based photon integrated micro-ring resonator array, and belongs to the technical field of wireless communication of the Internet of Things. The system comprises a silicon-based photon integrated micro-ring resonator array, and ultra-compact OAM beam generation is realized through thermo-optical tuning; according to the lightweight channel compensation architecture, a dual-branch DNN model is combined with NV color center quantum sensing to realize phase noise real-time calibration; and dynamic regulation and control of a heterogeneous multi-user access mechanism and fusion AI drive. The method solves the problems of beam divergence, channel time-varying sensitivity and multi-user interference of a traditional OAM technology in an Internet of Things scene, the mode purity under the millimeter wave (28GHz) frequency band reaches 99% or above, and the method is suitable for intensive Internet of Things scenes such as industry 4.0, automatic driving and intelligent agriculture.

Disclosed is a method and system for interference control and hybrid beamforming using multi-agent deep reinforcement learning for multiple users. The disclosed method includes performing multi-agent reinforcement learning using interference and antenna gain information that is expected based on a gain table designed using channel state information (CSI) of all user equipments; searching for an analog beamforming matrix pair corresponding to a link that maximizes antenna gain and minimizes interference between user equipments through multi-agent reinforcement learning; applying a signal-to-leakage plus noise ratio (SLNR) maximization technique that minimizes the interference between the user equipments based on the link; and optimizing transmission (Tx) power for each link based on iterative water-filling.

One or more aspects of the present disclosure are directed to techniques for interference cancellation in the present of Multi-User Interference (MUI). In one aspect, a method includes receiving a mixture signal at a receiver, the mixture signal including a first intended signal and at least one interfering signal overlappingly transmitted with the first intended signal; processing the mixture signal to identify the at least one interfering signal, the processing including at least applying an adaptive filtering to a re-modulated version of each of the at least one interfering signal to yield at least one reconstructed interfering signal; and determining the first intended signal using the mixture signal and the at least one reconstructed interfering signal.

The invention belongs to the technical field of quantum communication, and particularly relates to a sparse quantum coherent state multi-user communication system based on partition detection. The system comprises a transmitting end and a receiving end, the transmitting end comprises a channel coding module, a signal interleaving module, a sparse mapping module and a coherent state modulation module; the receiving end comprises a partition detection quantum receiving module and a multi-user decoding module; according to the method, the switch is arranged at the transmitting end, so that sparse processing of multi-user transmitting signals is realized, multi-user interference can be reduced, and the quality of a communication system is improved; a partition detection quantum receiver is adopted at a receiving end, and a multi-user soft detection decoding algorithm is designed in combination with iterative interference cancellation; the receiving end updates the local oscillation field signal in the next partition according to the measurement result of the current partition, so that the detection and decoding accuracy is improved; the system disclosed by the invention is high in multi-user interference resistance, high in convergence speed and good in robustness.

The invention provides a satellite communication signal modulation and demodulation method, device and equipment, power weighting is performed on signals of multiple users through power allocation, and signals of high-power users cover signals of low-power users, so that signal superposition transmission is realized on the same spectrum resource. A user signal is encoded using a nonlinear precoding technique to enhance the robustness of the user signal in a satellite communication link and reduce signal degradation. In the signal demodulation process, an improved iterative detection and elimination technology is adopted, firstly, a user signal with the highest power is demodulated, and an original signal of each user is gradually stripped out; according to the invention, the concurrent processing capability and the communication efficiency of signals can be effectively improved, and the signal error rate caused by multi-user interference is reduced at the same time.

The present disclosure relates to a 5G communication system or a 6G communication system for supporting higher data rates beyond a 4G communication system such as long term evolution (LTE). A method of channel estimation includes: receiving, at a first electronic device, a signal from a second electronic device on a channel, the received signal modified by a noise, the channel associated with a channel matrix; obtaining a noisy channel based on the received signal and a least squares estimate of the channel matrix; preprocessing the noisy channel to remove at least one of a timing offset, a multiuser interference, or an intercell interference; inputting the preprocessed noisy channel to a CE model trained to perform CE based on the preprocessed noisy channel, the CE model comprising residual learning networks; and estimating the channel matrix based on denoising of the preprocessed noisy channel.

The invention provides a communication method, user equipment and transmitting / receiving point equipment, and relates to the field of wireless communication. The target user equipment receives indication information sent by one of the multiple transmitting / receiving point equipment, the indication information comprises scheduling information of user equipment which is scheduled jointly on part of or all the transmitting / receiving point equipment of the multiple transmitting / receiving point equipment, and interference processing is carried out according to the indication information. Therefore, in the MU-MIMO system in the Multi-TRP scene, the transmitting / receiving point equipment indicates the multi-user interference information suffered by the user equipment, and the user equipment can better understand the user interference condition on each transmitting / receiving point equipment, so that effective measures are adopted to carry out interference processing, the multi-user interference is reduced to the greatest extent, and the network service quality is improved.

The disclosure relates to a 5G or 6G communication system for supporting a higher data transmission rate. The disclosure provides a method and a device for filtering-based channel estimation. A method comprises configuring a filter design with a stopband region between at least two bandpass regions in a time domain associated with channel behavior, suppressing, via the filter design, multi-user interference (MUI) or orthogonal cover code (OCC) interference in the time domain, and providing frequency domain-based channel estimation (CE) based on the filter design.

This invention belongs to the field of 6G communication technology, specifically relating to an optimization method for a RIS-assisted sensing integrated system based on RSMA. The method includes constructing an RSMA-based RIS-assisted sensing integrated system; under non-negative constraints, constructing a resource optimization problem model with the goal of maximizing system users and speed; decomposing the resource optimization problem model into two sub-problems, and solving them alternately through iteration to obtain an optimized solution. This invention has significant advantages in multi-user interference management, and can improve system communication performance while ensuring system sensing performance.

The invention discloses a method for testing and verifying an uplink subsystem based on a multi-antenna environment, which relates to the technical field of wireless communication and comprises the following steps: measuring phase noise by using a high-precision analyzer, acquiring an MIMO channel matrix by using field equipment, estimating a channel state based on a minimum mean square error, eliminating multi-user interference by using zero-forcing detection, and verifying the uplink subsystem based on the zero-forcing detection. A non-ideal channel is pre-coded and optimized by using a codebook, an error, an error rate and gain change are graphically displayed, and a simulation curve assists in optimizing uplink configuration. According to the invention, the test verification precision and efficiency of an uplink subsystem in a multi-antenna environment are effectively improved, and accurate estimation of a channel state and effective suppression of multi-user interference are realized by finely processing phase noise and MIMO channel information. The system performance is visually presented through graphical display and simulation curve assistance, the problem can be rapidly positioned, uplink configuration is optimized, and further development of the wireless communication technology is promoted.

The invention discloses a cross-domain high and low speed multi-user access method and system based on an OTFS system, and relates to the technical field of wireless communication, and the method comprises the steps: an OFDM transmitting end carries out the first preprocessing of information symbols, maps the information symbols to a time delay-Doppler domain, and distributes the information symbols to different users; constructing a time-frequency domain conversion scheme based on the first preprocessing, and converting the multi-user signal from a time delay Doppler domain to a time-frequency domain to obtain a time-frequency domain composite signal; an OFDM receiving end receives the time-frequency domain composite signal, recovers the multi-user signal through time-frequency domain demodulation, and performs primary detection on a time delay Doppler domain signal of a low-speed transmitting end to obtain a low-speed signal detection result; and carrying out secondary detection on the low-speed signal detection result to obtain high-speed and low-speed transmitting end signals, and recovering the high-speed and low-speed transmitting end signals to the time delay Doppler domain. According to the method, multi-user interference can be effectively avoided, so that the spectrum efficiency is improved, and the decoding accuracy of the system is improved according to the processing condition of the received complex signal by the base station in reality.

This invention belongs to the field of wireless communication technology, specifically relating to a joint optimization method for a rotating antenna system with polarization reconfiguration capability. This invention introduces two additional degrees of freedom—three-dimensional mechanical rotation and polarization reconfigurability—at the base station end, and endows the antenna with polarization reconfigurability at the user end, constructing a "space-polarization" joint optimization mechanism to achieve precise matching between beam pointing and transmit / receive polarization states. Under this mechanism, the system can effectively eliminate polarization mismatch losses caused by antenna rotation and channel scattering in complex multipath and multi-user interference environments, thereby significantly reducing base station transmit power and comprehensively improving the system's energy efficiency while ensuring communication quality for all users.

This invention relates to a high-efficiency beamforming precoder design method for RSMA-assisted NF-ISAC systems, belonging to the field of near-field communication and sensing integration technology. It includes constructing an RSMA-assisted integrated communication and sensing system model within the near-field range, establishing a joint optimization problem for beamforming precoder design, communication, and sensing resource allocation with the goal of maximizing system energy efficiency, and iteratively solving the reconstructed problem using Dinkelbach's algorithm and SCA algorithm to obtain the optimal system energy efficiency. This invention effectively suppresses multi-user interference and introduces additional degrees of freedom, significantly improving system performance and maximizing the energy efficiency of NF-ISAC systems under normal conditions. It also rigorously guarantees the QoS performance of communication users and the sensing and detection capabilities of radar targets within the system, providing a new technical solution for energy efficiency optimization of NF-ISAC systems, future green and sustainable communication systems, and robust transmission design.

One or more aspects of the present disclosure are directed to techniques for interference cancellation in the present of Multi-User Interference (MUI). In one aspect, a method includes receiving a mixture signal at a receiver, the mixture signal including a first intended signal and at least one interfering signal overlappingly transmitted with the first intended signal; processing the mixture signal to identify the at least one interfering signal, the processing including at least applying an adaptive filtering to a re-modulated version of each of the at least one interfering signal to yield at least one reconstructed interfering signal; and determining the first intended signal using the mixture signal and the at least one reconstructed interfering signal.

According to the communication resource allocation method and device based on intelligent reflecting surface-user association, in a multi-intelligent reflecting surface and multi-user communication scene, an intelligent reflecting surface-user association allocation matrix is introduced, the matching relation between intelligent reflecting surfaces and users is accurately controlled, the resource utilization rate is maximized, and the user experience is improved. Meanwhile, the influence of multi-user interference in the system is greatly reduced, and reliable support is provided for improving the overall communication performance; according to the intelligent reflecting surface-user joint parameter design method based on the maximum sum rate criterion and the minimum user signal to interference plus noise ratio constraint, a brand new intelligent reflecting surface-user incidence matrix is optimized, and meanwhile, the phase shift of a reflecting unit of the intelligent reflecting surface is adjusted to improve the signal propagation direction; and the transmitting beam forming vector is optimized to enhance the signal gain of the target user, so that the performance of the communication system is comprehensively improved, and the method is particularly suitable for complex scenes of multiple users and large-scale intelligent reflecting surfaces.

The invention discloses an interference-assisted multi-user covert communication beam forming design method, and belongs to the technical field of wireless communication information security. The implementation method comprises the following steps: constructing a multi-user covert communication transmission system; the multi-user covert communication transmission system comprises a base station, K legal users and an eavesdropper Willie. The covert communication performance is realized in a multi-user scene, and the influence of multi-user interference is considered; an interference signal power randomization mechanism is introduced, and a quantile transmission rate concept is combined, so that the detection capability of an eavesdropper is effectively weakened, and the concealment and robustness of the system are improved; based on the optimization theory, the interference-assisted multi-user covert communication beam forming design is modeled as a maximum and minimum fairness problem, and the fairness among all legal users can be guaranteed while the concealment requirement is met; and the beam forming vectors of the confidential signals and the interference signals are jointly designed, so that the optimal distribution and balance between the interference power and the transmission power are realized.

The present invention discloses a MIMO signal detection method based on neural network message passing, which relates to the field of communication technology and includes the following steps: S1: a base station receives a signal sent by a user terminal; S2: a MIMO system is modeled using a neural network, a neural network architecture is designed based on the signal flow of the MIMO system, and a deep neural network model is designed to simulate hardware defects and multi-user interference; S3: an efficient Bayesian detector MP‑NN based on message passing is developed; S4: a turbo receiver is implemented. The present invention adopts the above method to realize Bayesian signal detection for a communication system with a complex input-output relationship; a MIMO system is modeled using a neural network, a neural network architecture is designed based on the signal flow of the MIMO system, the number of neural network layers and parameters is minimized, a factor graph is used to represent the trained neural network, and an efficient Bayesian signal detector based on message passing is designed using the unitary approximate message passing UAMP algorithm.

This invention discloses a UAV relay trajectory planning method based on hybrid optoelectronic switching, comprising: establishing a free-space optical channel model, focusing on turbulence-induced scintillation and weather-induced attenuation; fusing line-of-sight and non-line-of-sight large-scale fading when constructing the radio frequency channel model, and quantifying downlink multi-user interference; establishing a hybrid obstacle model based on the Ray-AABB algorithm, fusing static ground obstacles and dynamic aerial obstacles, and determining the feasible location set for line-of-sight connections; using a boundary reflection random walk model to describe user movement, defining a dual-parameter update mechanism for velocity and direction and a boundary elastic collision rule; dynamically optimizing user throughput by combining fractional-order power allocation and non-orthogonal multiple access technology; and proposing a deep reinforcement learning framework, using dual deep Q-networks to jointly optimize 3D trajectories, optoelectronic switching, and resource allocation. This invention can effectively address the challenges of low-altitude spectrum denial environments, ensuring the robustness and adaptability of the system.

Systems and methods a system for generating Low-Density Parity-Check (LDPC) code for enabling multiple simultaneous users in Asynchronous Scrambled Coded Multiple Access (ASCMA). The system includes transmitter node with source endpoints, each equipped with an encoder unit generating LDPC codeword bits from information bits. An encoder aggregates LDPC codeword bits with replicated information bits to create an aggregated sequence. A modulator unit modulates the sequence into a waveform for transmission over a shared spectrum access channel. The transmitted waveform is asynchronously sent to a receiver node, which includes a gateway linked to destination endpoints. The receiver unit captures a noise-corrupted version of the waveform, and a decoder unit, using soft-input and soft-output techniques, decodes information bits. A Multi-User Interference (MUI) estimator cancels interference levels, allowing the decoder to recover the original information bits associated with the source endpoints.

The disclosure relates to a 5G or 6G communication system for supporting a higher data transmission rate. The present disclosure relates to a 5th generation (5G) or pre-5G communication system for supporting a higher data transmission rate after a 4th generation (4G) communication system such as long-term evolution (LTE). A method of operating a base station according to various embodiments of the present disclosure may include: receiving channel information from at least one terminal, obtaining channel interference information based on the channel information, obtaining a precoder based on the channel interference information, and transmitting a transmit signal to the at least one terminal based on the precoder, the channel interference information may include timing alignment error (TAE) interference and multi-user interference, and the TAE interference may be determined based on a number of first radio access technology (RAT) symbols and a number of second RAT symbols allocated to the transmit signal.

A method, system and apparatus are disclosed. A system including at least one wireless device and a network node configured to communicate with the at least one wireless device is provided. The network node includes an antenna array including a plurality of antennas. The network node is configured to determine at least one precoding matrix based on a Douglas-Rachford splitting convex optimization model between a per-antenna power constraint and a Multi-User Interference (MUI) requirement for evening the output power of the plurality of antennas of the antenna array. The network node is configured to cause transmission to the at least one wireless device using the antenna array based at least in part on the at least one precoding matrix.

The present invention discloses a method for suppressing multi-user interference in FCrSK based on phase assistance. Under the premise of the folded Chirp in-band frequency division multiple access technology, in order to overcome the problem of inter-user spectrum interference occurring in the process of multi-access implementation, the present invention is proposed. By adding an auxiliary phase to each user, the energy superposition value at the decision point of the target user is maximized, which can improve the signal-to-interference ratio. The auxiliary phase is obtained by offline calculation, which aims to maximize the minimum value of all user decision points, and performs an auxiliary phase search to obtain the optimal auxiliary phase. This method introduces the optimal auxiliary phase into the transmit waveform module, and selects different auxiliary phases according to the user modulation symbols to optimize the transmit waveform (the modulation symbols of all users are completely known at the base station end of the downlink). This method can effectively reduce multi-access interference and improve the concurrent user access ability at the same time.

This invention discloses an intelligent cooperative spatial modulation method and system based on GNN-MARL, mainly addressing the antenna resource competition and energy efficiency issues in multi-user spatial modulation systems. The method includes: first, establishing a multi-user interference graph model to abstract the interference relationships between users into a graph structure; second, using a graph attention network for feature extraction and message passing to update the environmental awareness embedding; then, employing multi-agent reinforcement learning, where each user agent independently selects distributed antennas based on local embedding; subsequently, combining Polar code channel coding and CCDM probabilistic shaping techniques to spatially modulate and map information bits for transmission; and finally, performing joint detection and decoding of the signal at the receiving end. This invention not only effectively reduces the large-scale computational complexity of the system but also significantly reduces the antenna collision rate and average transmit power, greatly improving system throughput. For example, in an 8-user scenario, it controls the collision rate to 19.6% and achieves a power saving of 32.8%, providing an efficient and practical innovative solution for intelligent network distributed resource management.

The present invention belongs to the field of quantum communication technology, specifically a sparse quantum coherent state multi-user communication system based on partition detection. The present invention includes a transmitting end and a transmitting end; the transmitting end includes a channel coding module, a signal interleaving module, a sparse mapping module and a coherent state modulation module; the receiving end includes a partition detection quantum receiving module and a multi-user decoding module; the present invention sets a switch at the transmitting end to realize sparse processing of multi-user transmitted signals, which can reduce multi-user interference and improve the quality of the communication system; a partition detection quantum receiver is used at the receiving end, and a multi-user soft detection decoding algorithm is designed in combination with iterative interference elimination; the receiving end updates the local oscillator field signal in the next partition according to the measurement results of the current partition, thereby improving the detection and decoding accuracy; the system of the present invention has strong resistance to multi-user interference, fast system convergence speed, and good robustness.